scholarly journals Modeling of spatial uncertainties in the magnetic reluctivity

2017 ◽  
Vol 36 (4) ◽  
pp. 1151-1167 ◽  
Author(s):  
Radoslav Jankoski ◽  
Ulrich Römer ◽  
Sebastian Schöps
Keyword(s):  
Hierarchical Matrices ◽  
Electrical Machines ◽  
Computationally Efficient ◽  
Standard Deviation Increase ◽  
Suggested Approach ◽  
Content Type ◽  
Efficient Approach ◽  
Dense Matrices ◽  
The Impact ◽  
Matrix Vector

Purpose The purpose of this paper is to present a computationally efficient approach for the stochastic modeling of an inhomogeneous reluctivity of magnetic materials. These materials can be part of electrical machines such as a single-phase transformer (a benchmark example that is considered in this paper). The approach is based on the Karhunen–Loève expansion (KLE). The stochastic model is further used to study the statistics of the self-inductance of the primary coil as a quantity of interest (QoI). Design/methodology/approach The computation of the KLE requires solving a generalized eigenvalue problem with dense matrices. The eigenvalues and the eigenfunction are computed by using the Lanczos method that needs only matrix vector multiplications. The complexity of performing matrix vector multiplications with dense matrices is reduced by using hierarchical matrices. Findings The suggested approach is used to study the impact of the spatial variability in the magnetic reluctivity on the QoI. The statistics of this parameter are influenced by the correlation lengths of the random reluctivity. Both, the mean value and the standard deviation increase as the correlation length of the random reluctivity increases. Originality/value The KLE, computed by using hierarchical matrices, is used for uncertainty quantification of low frequency electrical machines as a computationally efficient approach in terms of memory requirement, as well as computation time.

The sustainability word challenge

2018 ◽  
Vol 22 (2) ◽  
pp. 252-269 ◽  
Author(s):  
Susan Evans ◽  
Anne Peirson-Smith
Keyword(s):  
Decision Making ◽  
Hong Kong ◽  
Sustainable Consumption ◽  
Consumer Decision Making ◽  
Suggested Approach ◽  
Content Type ◽  
Ethnographic Interviews ◽  
Fashion Brand ◽  
User Frustration ◽  
The Impact

Purpose The purpose of this paper is to examine user perceptions toward consumer-facing words used by fashion brands to stimulate sustainable consumption and post consumption behavior. Design/methodology/approach A self-completion, survey based matching exercise was administered to 100 active fashion-shoppers in Hong Kong aged between 18 and 35 years old. A probability sampling method was used for on-street intercepts to ensure a random selection within the defined population. This was accompanied by 20 individual ethnographic interviews. Findings A lack of understanding and comprehension of key green language terminology used frequently in user facing communications is problematic for fashion brand marketers as the impact of their messages is often unclear, distributed and more likely to lead to user frustration rather than positive engaged consumer decision making and action. Further, there is an emerging indication that this approach is highly unlikely to enhance knowledge, engagement and action or to influence brand loyalty. Research limitations/implications Data were collected in Hong Kong and is culturally bounded, so while providing a good indication of the findings in situ this can also be replicated in other locations. Practical implications Recommended outcomes from the findings suggest that brand messages should be delivered that are intended to stimulate sustainability behaviors that are core to one key brand theme so that user outcome decision making and actions fit with the core brand values. This suggested approach will have a greater likelihood of leading to brand trust, responsible business action and greater clarity about the issue of sustainability and related action to be taken on behalf of the user. Originality/value The paper raises concerns about the effectiveness and outcomes of fashion brand marketing communications and findings provide insights into the confusion of understanding and the rise in frustration among targeted fashion shoppers 18-35 years, despite the use of frequently used words in brand communications to promote sustainable fashion consumption behaviors.

The impact of collective action and market prices

2019 ◽  
Vol 43 (4) ◽  
pp. 565-583
Author(s):  
Elif Özcan-Tok ◽  
Mustafa Utku Özmen ◽  
Ertan Tok ◽  
Tuba Yılmaz
Keyword(s):  
Information Sharing ◽  
Online Discussion ◽  
Discussion Forum ◽  
Small Scale ◽  
Standard Deviation Increase ◽  
Market Prices ◽  
Content Type ◽  
Online Discussion Forum ◽  
The Impact ◽  
Potato Onion

Purpose The purpose of this paper is to investigate whether the information sharing in an online discussion forum, over an agricultural market characterized by a large number of small-scale farmers, has an impact on the market prices. Design/methodology/approach All the comments posted by farmers and traders on four storable items (potato, onion, lemon and apple) in an online discussion forum over 2013–2017 are collected. By using text mining techniques and regression analysis, words characterizing the actions and expectations of farmers and traders on the course of the market price are identified. Then, summary indicators pointing to positive and negative views on prices are calculated. Finally, the relation between these indicators and market prices is analyzed. Findings The results point to economically significant impacts, as one standard deviation increase in the share of net positive comments is associated with 20, 22, 13 and 10 percent increase in the consumer prices of potato, onion, lemon and apple, respectively within three months. Originality/value Overall, this study provides an evidence for the link between information sharing of farmers on online domain and their collaboration in the physical domain. Thus, the study implies that the information synthesized from online discussion forums may actually contain valuable information for researchers and policy makers regarding the behavior of agents even on traditional domains such as agriculture.

Analysis and design of electrical machines with material uncertainties in iron and permanent magnet

2017 ◽  
Vol 36 (5) ◽  
pp. 1326-1337 ◽  
Author(s):  
Min Li ◽  
Mohammad Hossain Mohammadi ◽  
Tanvir Rahman ◽  
David Lowther
Keyword(s):  
Permanent Magnet ◽  
Robust Design ◽  
Electrical Machines ◽  
Robust Design Optimization ◽  
Worst Case ◽  
Content Type ◽  
Multi Objective ◽  
Material Uncertainties ◽  
Ipm Machine ◽  
The Impact

Purpose Manufacturing processes, such as laminations, may introduce uncertainties in the magnetic properties of materials used in electrical machines. This issue, together with magnetization errors, can cause serious deterioration in the performance of the machines. Hence, stochastic material models are required for the study of the influences of the material uncertainties. The purpose of this paper is to present a methodology to study the impact of magnetization pattern uncertainties in permanent magnet electric machines. Design/methodology/approach The impacts of material uncertainties on the performances of an interior permanent magnet (IPM) machine were analyzed using two different robustness metrics (worst-case analysis and statistical study). In addition, two different robust design formulations were applied to robust multi-objective machine design problems. Findings The computational analyses show that material uncertainties may result in deviations of the machine performances and cause nominal solutions to become non-robust. Originality/value In this paper, the authors present stochastic models for the quantification of uncertainties in both ferromagnetic and permanent magnet materials. A robust multi-objective evolutionary algorithm is demonstrated and successfully applied to the robust design optimization of an IPM machine considering manufacturing errors and operational condition changes.

scholarly journals An integrated approach for building sustainable Islamic social finance ecosystems

2019 ◽  
Vol 11 (2) ◽  
pp. 246-266
Author(s):  
Ahmed Tahiri Jouti
Keyword(s):  
Social Impact ◽  
Social Issues ◽  
Integrated Approach ◽  
Suggested Approach ◽  
Content Type ◽  
Social Sphere ◽  
The Social ◽  
Social Initiatives ◽  
The Impact ◽  
Social Causes

Purpose Bringing more impact seems to be a real issue for social initiatives and organizations requiring the adoption of new approaches. The paper aims to define an integrated approach for building, maintaining and upgrading Islamic social finance and sustainable ecosystems. Design/methodology/approach The paper presents a conceptual framework based on case studies and literature review describing the methodology and the necessary steps to build sustainable ecosystems. Findings The paper shows the impact of building social finance ecosystems on tackling social issues. It emphasizes the idea that solving social issues is everybody’s business – from governments to businesses – and that those initiatives require sufficient Sharīʿah-compliant funding to achieve sustainability goals. Research limitations/implications The paper does not focus on the Islamic world experiences in building ecosystems serving social causes. Practical implications The paper gives an overview on how collaboration between the different social oriented organisations can enhance the social impact of the different initiatives. The aim is to ensure adequate financing to all the ecosystem components during the whole lifecycle. Social implications The suggested approach of building sustainable ecosystems can serve as a way to assess the existing social initiatives and practices to find relevant combinations targeting more impact. Originality/value In the social sphere, the idea of building ecosystems has been explored in different ways but never in a way that gathers all the components including finance providers, coordinators and the different types of initiatives. The paper adapts the ecosystem concept to the Islamic finance specificities.

The impact of public investments in facilities on the potential housing market for older persons

Facilities ◽  
2017 ◽  
Vol 35 (7/8) ◽  
pp. 422-435 ◽  
Author(s):  
Samo Drobne ◽  
Marija Bogataj
Keyword(s):  
Housing Market ◽  
Older Persons ◽  
Local Community ◽  
Older Population ◽  
Suggested Approach ◽  
Content Type ◽  
Age Cohorts ◽  
Public Investments ◽  
Migration Flows ◽  
The Impact

PurposeThis paper aims to analyse the impact of public investments in facilities on the potential housing market for older persons by expanding the generally used approach of modelling working-age population to the approach of modelling the cohort of older population. Design/methodology/approachThe paper introduces an asymmetric approach and normalization to the special case of spatial interaction models, i.e. the Lowry-like model, to analyse significant factors that influence migration flows structured by age cohorts. The model uses publicly available and free databases at the mezzo level in a state. The analysis was performed for inter-municipal interactions of migrants structured by age cohorts. FindingsThe results show the different influences of Lowry’s main factors that influence the migration flows in industrial societies. The higher the average age of migrants, the lower the influences in the Lowry model. But, this is also valid for the impact of investments in public facilities and their management at the mezzo level on older migrants. Furthermore, institutional care facilities in a local community were proven to be an important factor to attract older persons. Research limitations/implicationsThe results show that there are other important factors that influence the migration flows of older persons. So, for better results, more structured data on investments and management of the facilities and other more subjective factors should be included in the model. Practical implicationsThe paper gives suggestions for further development of the models to analyse the potential housing market for older persons. Originality/valueIn addition to the suggested approach to study the impact of investments in facilities on the older population, this paper also identifies a need for more in-depth studies into this topic in the near future.

The More Control, the Better?

2014 ◽  
Vol 26 (2) ◽  
pp. 81-91 ◽  
Author(s):  
Jeeyun Oh ◽  
Mun-Young Chung ◽  
Sangyong Han
Keyword(s):  
Mixed Design ◽  
Negative Effects ◽  
Story Structure ◽  
Content Type ◽  
High User ◽  
User Control ◽  
Rigorous Research ◽  
Control Versus ◽  
The Media ◽  
The Impact

Despite of the popularity of interactive movie trailers, rigorous research on one of the most apparent features of these interfaces – the level of user control – has been scarce. This study explored the effects of user control on users’ immersion and enjoyment of the movie trailers, moderated by the content type. We conducted a 2 (high user control versus low user control) × 2 (drama film trailer versus documentary film trailer) mixed-design factorial experiment. The results showed that the level of user control over movie trailer interfaces decreased users’ immersion when the trailer had an element of traditional story structure, such as a drama film trailer. Participants in the high user control condition answered that they were less fascinated with, absorbed in, focused on, mentally involved with, and emotionally affected by the movie trailer than participants in the low user control condition only with the drama movie trailer. The negative effects of user control on the level of immersion for the drama trailer translated into users’ enjoyment. The impact of user control over interfaces on immersion and enjoyment varies depending on the nature of the media content, which suggests a possible trade-off between the level of user control and entertainment outcomes.

Perceived workplace gender-bias and psychological impact

2019 ◽  
Vol 43 (3/4) ◽  
pp. 339-353 ◽  
Author(s):  
Siham Lekchiri ◽  
Cindy Crowder ◽  
Anna Schnerre ◽  
Barbara A.W. Eversole
Keyword(s):  
Gender Bias ◽  
Critical Incident ◽  
Psychological Impact ◽  
Working Women ◽  
Content Type ◽  
Treatment Bias ◽  
Male Dominated ◽  
The Impact ◽  
Organizational Mechanisms ◽  
Practical Implications

Purpose The purpose of this paper is to explore the experiences of working women in a male-dominated country (Morocco) and unveil the unique challenges and everyday gender-bias they face, the psychological impact of the perceived gender-bias and, finally, identify a variety of coping strategies or combatting mechanisms affecting their motivation and retention in the workplace. Design/methodology/approach Empirical evidence was obtained using a qualitative research method. The Critical Incident Technique (CIT) was used to collect incidents recalled by women in the select institution reflecting their perceptions of their managers’ ineffective behaviors towards them and the impact of these behaviors. The critical incidents were inductively coded, and behavioral statements were derived from the coded data. Findings The qualitative data analysis led them to structure the data according to two theme clusters: The perceived gender-bias behaviors (Covert and evident personal and organizational behaviors) and Psychological impacts resulting from the perceived bias. These behavioral practices included abusive behaviors, unfair treatment, bias and lack of recognition. The psychological impact elements involved decreased productivity, depression, anxiety and low self-esteem. Practical implications Understanding these experiences can facilitate the identification of strategies geared towards the retention of women in the workforce, and Moroccan organizations can develop and implement strategies and policies that are geared towards eliminating gender-bias in the workplace and to retaining and motivating women who remain ambitious to work in male-dominated environments and cultures. Originality/value This paper provides evidence that sufficient organizational mechanisms to support women in male-dominated environments are still unavailable, leaving them to find the proper coping mechanisms to persevere and resist.

An empirical examination of firm financial performance along dimensions of supply chain resilience

2017 ◽  
Vol 40 (3) ◽  
pp. 254-269 ◽  
Author(s):  
Xun Li ◽  
Qun Wu ◽  
Clyde W. Holsapple ◽  
Thomas Goldsby
Keyword(s):  
Supply Chain ◽  
Financial Performance ◽  
Three Dimensions ◽  
Empirical Examination ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Critical Dimensions ◽  
Firm Financial Performance ◽  
Supply Chain Agility ◽  
The Impact

Purpose This paper aims to investigate the impact of three critical dimensions of supply chain resilience, supply chain preparedness, supply chain alertness and supply chain agility, all aimed at increasing a firm’s financial outcomes. In a turbulent environment, firms require resilience in their supply chains to prepare for potential changes, detect changes and respond to actual changes, thus providing superior value. Design/methodology/approach Using survey data from 77 firms, this study develops scales for preparedness, alertness and agility. It then tests their hypothesized relationships with a firm’s financial performance. Findings The results reveal that the three dimensions of supply chain resilience (i.e. preparedness, alertness and agility) significantly impact a firm’s financial performance. It is also found that supply chain preparedness, as a proactive resilience capability, has a greater influence on a firm’s financial performance than the reactive capabilities including alertness and agility, suggesting that firms should pay more attention to proactive approaches for building supply chain resilience. Originality/value First, this study develops a comparatively comprehensive definition for supply chain resilience and explores its dimensionality. Second, this study provides empirically validated instruments for the dimensions of supply chain resilience. Third, this study is one of the first to provide empirical evidence for direct impact of supply chain resilience dimensions on a firm’s financial performance.

Proprietary information and the cost of bank debt

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
HyunJun Na
Keyword(s):  
Least Square ◽  
Bank Loan ◽  
Content Type ◽  
Loan Contracts ◽  
Proprietary Information ◽  
Banking Deregulation ◽  
Interstate Banking ◽  
Innovative Firms ◽  
Bank Loan Contracts ◽  
The Impact

PurposeThis study explores how the firm’s proprietary information has an impact on the bank loan contracts. It explains the propensity of using the competitive bid option (CBO) in the syndicate loans to solicit the best bid for innovative firms and how it changes based on industry competition and the degree of innovations. This research also examines how the interstate banking deregulation (Interstate Banking and Branching Efficiency Act) in 1994 affected the private loan contracts for innovative borrowers.Design/methodology/approachThe study uses various econometric analyses. First, it uses the propensity score matching analysis to see the impact of patents on pricing terms. Second, it uses the two-stage least square (2SLS) analysis by implementing the litigation and non-NYSE variables. Finally, it studies the impact of the policy change of the Interstate Banking and Branching Efficiency Act of 1994 on the bank loan contracts.FindingsFirms with more proprietary information pays more annual facility fees but less other fees. The patents are the primary determinants of the usage of CBO in the syndicate loans to solicit the best bid. While innovative firms can have better contract conditions by the CBO, firms with more proprietary information will less likely to use the CBO option to minimize the leakage of private information and the severe monitoring from the banks. Finally, more proprietary information lowered the loan spread for firms dependent on the external capital after the interstate banking deregulation.Originality/valueThe findings of this research will help senior executives with responsibility for financing their innovative projects. In addition, these findings should prove helpful for the lawmakers to boost economies.

The effect of emotions, eWOM quality and online review sequence on consumer intention to follow advice obtained from digital services

2020 ◽  
Vol 31 (3) ◽  
pp. 465-487 ◽  
Author(s):  
Carla Ruiz-Mafe ◽  
Enrique Bigné-Alcañiz ◽  
Rafael Currás-Pérez
Keyword(s):  
Structural Model ◽  
Online Reviews ◽  
Moderating Effect ◽  
Online Information ◽  
Bias Effect ◽  
Content Type ◽  
Digital Services ◽  
Information Cues ◽  
Cognitive Information ◽  
The Impact

PurposeThis paper analyses the interrelationships between emotions, the cognitive information cues of online reviews and intention to follow the advice obtained from digital platforms, paying special attention to the moderating effect of the sequencing of review valence.Design/methodology/approachThe data were collected from 830 Spanish Tripadvisor users. In a two-step approach, a measurement model was estimated and a structural model analysed to test the proposed hypotheses. SmartPLS 3.0 software was used. The moderating effect of sequencing of reviews is tested.FindingsThe data analysis showed a bias effect of review sequence on the impact of online information cues and emotions on intention to follow advice obtained from Tripadvisor. When the online reviews of a restaurant begin with positive commentaries, their perceived persuasiveness is a stronger driver of the pleasure and arousal elicited by online reviews than when they begin with negative reviews. On the other hand, the perceived helpfulness of online reviews only triggers arousal when the user reads negative, followed by positive, comments. The impact of pleasure on intention to follow the advice provided in an online travel community is higher with positive-negative than with negative-positive sequences.Originality/valueWhile researchers have demonstrated the benefits of customer reviews on company sales, a largely uninvestigated issue is the interplay between emotions and cognitive information cues in the processing of online reviews. This is one of the first studies to examine the moderating effect of conflicting reviews on the impact of emotions and cognitive information cues on consumer intention to follow the advice obtained from digital services.

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